Despite the growing interest in AI for language assessment, there remains a significant research gap regarding its usefulness for assessing less proficient language skills, particularly those of learners of English as a second or foreign language (S/FL). AI models often prioritize proficient writing, neglecting the intricacies of learner language.…

Recent research conducted as part of the English Profile identified grammatical criterial features that are characteristic of each Common European Framework of Reference (CEFR) proficiency level. The extent to which these criterial features attest in English learners of various first language backgrounds call for an empirical examination. In this…

Global efforts for standards-based linguistic assessment increasingly hold that examinees should be tested in the language with which they are most familiar. Yet, language use still occurs differently from its characterization in exams, even as exams are increasingly developed in historically minoritized languages. Drawing from two years of…

Examining spoken features across proficiency levels allows researchers to explore the nature of speaking proficiency as it develops. This line of research has thus far primarily focused on adult second language (L2) learners. Using cross-sectional data based on a large-scale language assessment intended for young L2 learners, in this study, we…

This study, which is part of a large-scale study of using objective measures to validate assessment rating scales and assessment tasks in a high-profile school-based assessment initiative in Hong Kong, examined how grammatical complexity measures relate to task type and analytic evaluations of students' speaking proficiency in a classroom-based…